IoT based maternal health risk detection system

This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022.

ग्रंथसूची विवरण
मुख्य लेखकों:	Tabassum, Tasnia, Zaman, Saklain, Khan, Ananya, Rahman, Kazi Nafiur
अन्य लेखक:	Bhuian, Dr. Mohammed Belal
स्वरूप:	Project report
भाषा:	English
प्रकाशित:	Brac University 2024
विषय:	MMR IoT Maternal health Maternal health risk Internet of things
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/22161

id	10361-22161
record_format	dspace
spelling	10361-221612024-01-16T21:02:56Z IoT based maternal health risk detection system Tabassum, Tasnia Zaman, Saklain Khan, Ananya Rahman, Kazi Nafiur Bhuian, Dr. Mohammed Belal Bhuian, Dr. Mohammed Belal Department of Electrical and Electronic Engineering, Brac University MMR IoT Maternal health Maternal health risk Internet of things This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022. Cataloged from PDF version of final year design project Includes bibliographical references (pages 95-98). Bangladesh has a high Maternal Mortality Rate (MMR) which means a lot of women die every year due to pregnancy related health risks and complications. This is a serious problem in the world today and with the help of IoT we can connect doctors to patients more efficiently and reduce the risk of death in an emergency. In this project we developed an IoT based health monitoring system that tracks the patients’ vital health parameters and connects her to the doctor via a mobile application. Tasnia Tabassum Saklain Zaman Ananya Khan Kazi Nafiur Rahman B. Electrical and Electronic Engineering 2024-01-16T06:36:11Z 2024-01-16T06:36:11Z 2022 2022-12 Project report ID: 19121011 ID: 18121088 ID: 18121087 ID: 18110004 http://hdl.handle.net/10361/22161 en Brac University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 110 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	MMR IoT Maternal health Maternal health risk Internet of things
spellingShingle	MMR IoT Maternal health Maternal health risk Internet of things Tabassum, Tasnia Zaman, Saklain Khan, Ananya Rahman, Kazi Nafiur IoT based maternal health risk detection system
description	This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022.
author2	Bhuian, Dr. Mohammed Belal
author_facet	Bhuian, Dr. Mohammed Belal Tabassum, Tasnia Zaman, Saklain Khan, Ananya Rahman, Kazi Nafiur
format	Project report
author	Tabassum, Tasnia Zaman, Saklain Khan, Ananya Rahman, Kazi Nafiur
author_sort	Tabassum, Tasnia
title	IoT based maternal health risk detection system
title_short	IoT based maternal health risk detection system
title_full	IoT based maternal health risk detection system
title_fullStr	IoT based maternal health risk detection system
title_full_unstemmed	IoT based maternal health risk detection system
title_sort	iot based maternal health risk detection system
publisher	Brac University
publishDate	2024
url	http://hdl.handle.net/10361/22161
work_keys_str_mv	AT tabassumtasnia iotbasedmaternalhealthriskdetectionsystem AT zamansaklain iotbasedmaternalhealthriskdetectionsystem AT khanananya iotbasedmaternalhealthriskdetectionsystem AT rahmankazinafiur iotbasedmaternalhealthriskdetectionsystem
_version_	1814308570989068288

IoT based maternal health risk detection system

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